In recent years, e-sports, as an emerging form of competition, has been rapidly integrated into the daily life of college students, and with its rich interactivity, instant feedback and teamwork, e-sports provides them with an effective channel for emotional catharsis and psychological regulation. This study takes students from four universities as the survey object and adopts quantitative research method to analyze the relationship between different types of e-sports activities and psychological stress resistance through questionnaire survey method combined with spss. The samples were randomly sampled, and a total of 500 valid questionnaires were collected. The results of the study show that: 1. In terms of participation, the ability of students to withstand academic stress and life stress is significantly improved, and e-sports is an effective way to regulate emotions and relieve stress; 2. the three types of games (First-person Shooter, Multiplayer Online Battle Arena, Real-Time Strategy Game) have different impacts on stress tolerance, of which FPS has the greatest impact on stress tolerance; 3. the frequency of playing e-sports affects your stress tolerance; 4. teamwork and strategy play an important role in e-sports resilience.

In the wake of the COVID-19 pandemic, the prevalence of online education in primary education has exhibited an upward trajectory. Relative to traditional learning environments, online instruction has evolved into a pivotal pedagogical modality for contemporary students. Thus, to comprehensively comprehend the repercussions of environmental changes on students’ psychological well-being in the backdrop of prolonged online education, this study employs an innovative methodology. Founded upon three elemental feature sequences—images, acoustics, and text extracted from online learning data—the model ingeniously amalgamates these facets. The fusion methodology aims to synergistically harness information from diverse perceptual channels to capture the students’ psychological states more comprehensively and accurately. To discern emotional features, the model leverages support vector machines (SVM), exhibiting commendable proficiency in handling emotional information. Moreover, to enhance the efficacy of psychological well-being prediction, this study incorporates an attention mechanism into the traditional Convolutional Neural Network (CNN) architecture. By innovatively introducing this attention mechanism in CNN, the study observes a significant improvement in accuracy in identifying six psychological features, demonstrating the effectiveness of attention mechanisms in deep learning models. Finally, beyond model performance validation, this study delves into a profound analysis of the impact of environmental changes on students’ psychological well-being. This analysis furnishes valuable insights for formulating pertinent instructional strategies in the protracted context of online education, aiding educational institutions in better addressing the challenges posed to students’ psychological well-being in novel learning environments.

Stress has evolutionary roots that help human beings evolve and survive. Existing workplace mental health models typically view stress as the direct cause of poor mental health. Such models focus on strategies to eliminate it. Guided by O’Connor and Kirtley’s integrated motivational-volitional (IMV) model, we posit that demanding jobs and high-stress environments do not directly impact an individual’s mental health but trigger a “sense of self” moderator (SSM), which then leads to mental health outcomes. This moderator is modified by the workplace’s organizational design and individual’s traits. We propose a Workplace Mental Health (WMH) Model, which suggests that by addressing these SSM modifiers through evidence-based interventions at organizational and individual levels, even in high-stress environments, organizations can have mentally healthy workforces and build high-performance workplaces. This paper assumes that stress is an inalienable part of any work environment and that a secular reduction in stress levels in modern society is infeasible. Although some individuals in high-stress job environments develop mental illness, many do not, and some even thrive. This differential response suggests that stress may act as a trigger, but an individual’s reaction to it is influenced more by other factors than the stress itself.